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arabidopsis microarray expression profile data  (Thermo Fisher)


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    Thermo Fisher arabidopsis microarray expression profile data
    Preferential correlation changes between gene pairs . RSPR-NR was applied to the <t>Arabidopsis</t> expression profile data set. The cosine correlations between each of 80,000 randomly sampled gene pairs before and after RSPR-NR were recorded. The angle corresponding to each cosine correlation value was used in the plots. (A) The angle change from before RSPR-NR to after RSPR-NR is plotted along the angle before RSPR-NR, for the sampled gene pairs. A loess fit curve for the distribution is shown in gray. (B) From (A), the loess fit curve values were made zero (gray line) to normalize the distribution in small ranges of the angle before. The angle change value after this loess-based normalization is called the relative angle change value. This relative-angle-change-vs.-angle-before plot is used in (C) and (D). (C) The gene pairs that share GO process and component terms (Jaccard similarity = 0.5) are plotted. (D) The gene pairs that do not share any GO process and component terms and that have more than 5 GO terms in union among the sampled gene pairs are plotted. In both (C) and (D), the gene pairs with low correlation before RSPR-NR (an angle range between 0.3π and 0.7π) are excluded. The parameters used for RSPR-NR were a subset row number of 200, a repeat number of 20, and an FDR of 0.0316. The dot sizes in the plots were adjusted according to the density of dots in each plot.
    Arabidopsis Microarray Expression Profile Data, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/arabidopsis+microarray+expression+profile+data/pmc02607290-28-5-6?v=Thermo+Fisher
    Average 90 stars, based on 1 article reviews
    arabidopsis microarray expression profile data - by Bioz Stars, 2026-07
    90/100 stars

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    1) Product Images from "Unsupervised reduction of random noise in complex data by a row-specific, sorted principal component-guided method"

    Article Title: Unsupervised reduction of random noise in complex data by a row-specific, sorted principal component-guided method

    Journal: BMC Bioinformatics

    doi: 10.1186/1471-2105-9-508

    Preferential correlation changes between gene pairs . RSPR-NR was applied to the Arabidopsis expression profile data set. The cosine correlations between each of 80,000 randomly sampled gene pairs before and after RSPR-NR were recorded. The angle corresponding to each cosine correlation value was used in the plots. (A) The angle change from before RSPR-NR to after RSPR-NR is plotted along the angle before RSPR-NR, for the sampled gene pairs. A loess fit curve for the distribution is shown in gray. (B) From (A), the loess fit curve values were made zero (gray line) to normalize the distribution in small ranges of the angle before. The angle change value after this loess-based normalization is called the relative angle change value. This relative-angle-change-vs.-angle-before plot is used in (C) and (D). (C) The gene pairs that share GO process and component terms (Jaccard similarity = 0.5) are plotted. (D) The gene pairs that do not share any GO process and component terms and that have more than 5 GO terms in union among the sampled gene pairs are plotted. In both (C) and (D), the gene pairs with low correlation before RSPR-NR (an angle range between 0.3π and 0.7π) are excluded. The parameters used for RSPR-NR were a subset row number of 200, a repeat number of 20, and an FDR of 0.0316. The dot sizes in the plots were adjusted according to the density of dots in each plot.
    Figure Legend Snippet: Preferential correlation changes between gene pairs . RSPR-NR was applied to the Arabidopsis expression profile data set. The cosine correlations between each of 80,000 randomly sampled gene pairs before and after RSPR-NR were recorded. The angle corresponding to each cosine correlation value was used in the plots. (A) The angle change from before RSPR-NR to after RSPR-NR is plotted along the angle before RSPR-NR, for the sampled gene pairs. A loess fit curve for the distribution is shown in gray. (B) From (A), the loess fit curve values were made zero (gray line) to normalize the distribution in small ranges of the angle before. The angle change value after this loess-based normalization is called the relative angle change value. This relative-angle-change-vs.-angle-before plot is used in (C) and (D). (C) The gene pairs that share GO process and component terms (Jaccard similarity = 0.5) are plotted. (D) The gene pairs that do not share any GO process and component terms and that have more than 5 GO terms in union among the sampled gene pairs are plotted. In both (C) and (D), the gene pairs with low correlation before RSPR-NR (an angle range between 0.3π and 0.7π) are excluded. The parameters used for RSPR-NR were a subset row number of 200, a repeat number of 20, and an FDR of 0.0316. The dot sizes in the plots were adjusted according to the density of dots in each plot.

    Techniques Used: Expressing

    Variance associated with each PC in PCA with the Arabidopsis expression profile data set . (A) The variance associated with each PC (PC1 to PC60) is plotted. (B) A close up view of (A) in the range starting with PC4.
    Figure Legend Snippet: Variance associated with each PC in PCA with the Arabidopsis expression profile data set . (A) The variance associated with each PC (PC1 to PC60) is plotted. (B) A close up view of (A) in the range starting with PC4.

    Techniques Used: Expressing



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    arabidopsis microarray expression profile data  (Thermo Fisher)
    90
    Thermo Fisher arabidopsis microarray expression profile data
    Preferential correlation changes between gene pairs . RSPR-NR was applied to the <t>Arabidopsis</t> expression profile data set. The cosine correlations between each of 80,000 randomly sampled gene pairs before and after RSPR-NR were recorded. The angle corresponding to each cosine correlation value was used in the plots. (A) The angle change from before RSPR-NR to after RSPR-NR is plotted along the angle before RSPR-NR, for the sampled gene pairs. A loess fit curve for the distribution is shown in gray. (B) From (A), the loess fit curve values were made zero (gray line) to normalize the distribution in small ranges of the angle before. The angle change value after this loess-based normalization is called the relative angle change value. This relative-angle-change-vs.-angle-before plot is used in (C) and (D). (C) The gene pairs that share GO process and component terms (Jaccard similarity = 0.5) are plotted. (D) The gene pairs that do not share any GO process and component terms and that have more than 5 GO terms in union among the sampled gene pairs are plotted. In both (C) and (D), the gene pairs with low correlation before RSPR-NR (an angle range between 0.3π and 0.7π) are excluded. The parameters used for RSPR-NR were a subset row number of 200, a repeat number of 20, and an FDR of 0.0316. The dot sizes in the plots were adjusted according to the density of dots in each plot.
    Arabidopsis Microarray Expression Profile Data, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/arabidopsis+microarray+expression+profile+data/pmc02607290-28-5-6?v=Thermo+Fisher
    Average 90 stars, based on 1 article reviews
    arabidopsis microarray expression profile data - by Bioz Stars, 2026-07
    90/100 stars
    		  Buy from Supplier

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    Preferential correlation changes between gene pairs . RSPR-NR was applied to the Arabidopsis expression profile data set. The cosine correlations between each of 80,000 randomly sampled gene pairs before and after RSPR-NR were recorded. The angle corresponding to each cosine correlation value was used in the plots. (A) The angle change from before RSPR-NR to after RSPR-NR is plotted along the angle before RSPR-NR, for the sampled gene pairs. A loess fit curve for the distribution is shown in gray. (B) From (A), the loess fit curve values were made zero (gray line) to normalize the distribution in small ranges of the angle before. The angle change value after this loess-based normalization is called the relative angle change value. This relative-angle-change-vs.-angle-before plot is used in (C) and (D). (C) The gene pairs that share GO process and component terms (Jaccard similarity = 0.5) are plotted. (D) The gene pairs that do not share any GO process and component terms and that have more than 5 GO terms in union among the sampled gene pairs are plotted. In both (C) and (D), the gene pairs with low correlation before RSPR-NR (an angle range between 0.3π and 0.7π) are excluded. The parameters used for RSPR-NR were a subset row number of 200, a repeat number of 20, and an FDR of 0.0316. The dot sizes in the plots were adjusted according to the density of dots in each plot.

    Journal: BMC Bioinformatics

    Article Title: Unsupervised reduction of random noise in complex data by a row-specific, sorted principal component-guided method

    doi: 10.1186/1471-2105-9-508

    Figure Lengend Snippet: Preferential correlation changes between gene pairs . RSPR-NR was applied to the Arabidopsis expression profile data set. The cosine correlations between each of 80,000 randomly sampled gene pairs before and after RSPR-NR were recorded. The angle corresponding to each cosine correlation value was used in the plots. (A) The angle change from before RSPR-NR to after RSPR-NR is plotted along the angle before RSPR-NR, for the sampled gene pairs. A loess fit curve for the distribution is shown in gray. (B) From (A), the loess fit curve values were made zero (gray line) to normalize the distribution in small ranges of the angle before. The angle change value after this loess-based normalization is called the relative angle change value. This relative-angle-change-vs.-angle-before plot is used in (C) and (D). (C) The gene pairs that share GO process and component terms (Jaccard similarity = 0.5) are plotted. (D) The gene pairs that do not share any GO process and component terms and that have more than 5 GO terms in union among the sampled gene pairs are plotted. In both (C) and (D), the gene pairs with low correlation before RSPR-NR (an angle range between 0.3π and 0.7π) are excluded. The parameters used for RSPR-NR were a subset row number of 200, a repeat number of 20, and an FDR of 0.0316. The dot sizes in the plots were adjusted according to the density of dots in each plot.

    Article Snippet: We applied the method to Arabidopsis Affymetrix microarray expression profile data collected in multiple experiments.

    Techniques: Expressing

    Variance associated with each PC in PCA with the Arabidopsis expression profile data set . (A) The variance associated with each PC (PC1 to PC60) is plotted. (B) A close up view of (A) in the range starting with PC4.

    Journal: BMC Bioinformatics

    Article Title: Unsupervised reduction of random noise in complex data by a row-specific, sorted principal component-guided method

    doi: 10.1186/1471-2105-9-508

    Figure Lengend Snippet: Variance associated with each PC in PCA with the Arabidopsis expression profile data set . (A) The variance associated with each PC (PC1 to PC60) is plotted. (B) A close up view of (A) in the range starting with PC4.

    Article Snippet: We applied the method to Arabidopsis Affymetrix microarray expression profile data collected in multiple experiments.

    Techniques: Expressing